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30 changes: 30 additions & 0 deletions all_time.csv
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"2016-06-02","ramnathv","htmlwidgets","385"
"2016-06-02","rdpeng","ProgrammingAssignment2","380"
"2016-06-02","smbache","magrittr","378"
"2016-06-17","johnmyleswhite","ML_for_Hackers","2393"
"2016-06-17","hadley","ggplot2","1885"
"2016-06-17","swirldev","swirl_courses","1778"
"2016-06-17","rstudio","shiny","1775"
"2016-06-17","twitter","AnomalyDetection","1536"
"2016-06-17","qinwf","awesome-R","1399"
"2016-06-17","hadley","dplyr","1284"
"2016-06-17","hadley","devtools","1278"
"2016-06-17","yihui","knitr","1180"
"2016-06-17","szilard","benchm-ml","929"
"2016-06-17","ramnathv","slidify","697"
"2016-06-17","toddwschneider","nyc-taxi-data","686"
"2016-06-17","jrnold","ggthemes","608"
"2016-06-17","amplab-extras","SparkR-pkg","597"
"2016-06-17","hadley","rvest","589"
"2016-06-17","ropensci","plotly","578"
"2016-06-17","rstudio","ggvis","545"
"2016-06-17","rstudio","rmarkdown","533"
"2016-06-17","rich-iannone","DiagrammeR","525"
"2016-06-17","hadley","httr","524"
"2016-06-17","genomicsclass","labs","509"
"2016-06-17","google","CausalImpact","502"
"2016-06-17","swirldev","swirl","491"
"2016-06-17","hadley","plyr","440"
"2016-06-17","johnmyleswhite","ProjectTemplate","407"
"2016-06-17","dgrtwo","broom","399"
"2016-06-17","karthik","wesanderson","399"
"2016-06-17","mlr-org","mlr","390"
"2016-06-17","ramnathv","htmlwidgets","386"
"2016-06-17","rdpeng","ProgrammingAssignment2","383"
112 changes: 56 additions & 56 deletions r-trending.md
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Expand Up @@ -4,71 +4,71 @@ Generated biweekly from [R code](https://github.com/qinwf/awesome-R/blob/master/

## Trending

**Trending from 2016-05-03 to 2016-06-02**
**Trending from 2016-05-18 to 2016-06-17**

1. [talgalili/heatmaply](https://github.com/talgalili/heatmaply) **35**<br/>Interactive Heat Maps for R Using plotly
1. [masalmon/monkeylearn](https://github.com/masalmon/monkeylearn) **32**<br/>:monkey: R package for text analysis with Monkeylearn :monkey:
1. [dgrtwo/rpanama](https://github.com/dgrtwo/rpanama) **31**<br/>The Panama Papers offshore leaks database in R
1. [hadley/modelr](https://github.com/hadley/modelr) **31**<br/>Helper functions for modelling
1. [MangoTheCat/callr](https://github.com/MangoTheCat/callr) **18**<br/>Call R from R
1. [rstudio/config](https://github.com/rstudio/config) **15**<br/>config package for R
1. [calligross/reinstallr](https://github.com/calligross/reinstallr) **12**<br/>Reinstall missing R packages
1. [dgrtwo/widyr](https://github.com/dgrtwo/widyr) **11**<br/>Widen, process, and re-tidy a dataset
1. [rnorm/didi](https://github.com/rnorm/didi) **9**<br/>
1. [Stan125/GREA](https://github.com/Stan125/GREA) **8**<br/>Gotta Read Em All: RStudio Add-In to interactively read ALL the data into R
1. [topepo/odsc_rules](https://github.com/topepo/odsc_rules) **7**<br/>Notes and code for the workshop "Rule-Based Models for Regression and Classification”
1. [mikecroucher/R_awareness](https://github.com/mikecroucher/R_awareness) **7**<br/>
1. [sicarul/redshiftTools](https://github.com/sicarul/redshiftTools) **7**<br/>R Tools to upload data to an Amazon Redshift Database with good performance.
1. [MangoTheCat/shinytoastr](https://github.com/MangoTheCat/shinytoastr) **25**<br/>Notifications in Shiny apps
1. [rstudio/config](https://github.com/rstudio/config) **18**<br/>config package for R
1. [abresler/gdeltr2](https://github.com/abresler/gdeltr2) **16**<br/>R's modern interface to The GDELT Project
1. [rnorm/didi](https://github.com/rnorm/didi) **16**<br/>
1. [serenasignorelli/QueryWikidataR](https://github.com/serenasignorelli/QueryWikidataR) **11**<br/>QueryWikidataR
1. [szilard/xgboost-adv-workshop-LA](https://github.com/szilard/xgboost-adv-workshop-LA) **11**<br/>Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
1. [hadley/ggplot1](https://github.com/hadley/ggplot1) **11**<br/>Before there was ggplot2
1. [sahirbhatnagar/manhattanly](https://github.com/sahirbhatnagar/manhattanly) **8**<br/>
1. [jo-tud/TheDAONetworkAnalysis](https://github.com/jo-tud/TheDAONetworkAnalysis) **7**<br/>Ethereum blockchain network analysis of the connected graph around "The DAO"
1. [richfitz/ring](https://github.com/richfitz/ring) **6**<br/>:ring: Ring buffers
1. [richfitz/syncr](https://github.com/richfitz/syncr) **6**<br/>:arrows_clockwise: R interface to rsync
1. [ankane/rollbar](https://github.com/ankane/rollbar) **6**<br/>Error tracking for R
1. [robjohnnoble/ggmuller](https://github.com/robjohnnoble/ggmuller) **6**<br/>Create Muller Plots of Evolutionary Dynamics
1. [Tutuchan/fodr](https://github.com/Tutuchan/fodr) **6**<br/>An R package to access French Open Data portals
1. [MangoTheCat/xmlparsedata](https://github.com/MangoTheCat/xmlparsedata) **5**<br/>R code parse data as an XML tree
1. [flovv/RoogleVision](https://github.com/flovv/RoogleVision) **5**<br/>R Package for Image Recognition using Google Could Vision
1. [leeper/responserates](https://github.com/leeper/responserates) **5**<br/>AAPOR Survey Response Rates
1. [ajncespedes/Kaggle-Santander-Customer-Satisfaction](https://github.com/ajncespedes/Kaggle-Santander-Customer-Satisfaction) **4**<br/>Kaggle competition for my final degree project at University of Granada
1. [masalmon/geoparser](https://github.com/masalmon/geoparser) **4**<br/>:book: :globe_with_meridians: R package for the Geoparser.io API :globe_with_meridians: :book:
1. [56north/leafletDK](https://github.com/56north/leafletDK) **4**<br/>
1. [RLadiesCodingLondon/meetups](https://github.com/RLadiesCodingLondon/meetups) **4**<br/>Here you find all the code snippets demonstrated during meetups
1. [asieira/SnakeCharmR](https://github.com/asieira/SnakeCharmR) **4**<br/>SnakeCharmR - R and Python Integration
1. [HoustonUseRs/pipefittr](https://github.com/HoustonUseRs/pipefittr) **4**<br/>
1. [sakrejda/stan-workshop](https://github.com/sakrejda/stan-workshop) **4**<br/>Examples of working and non-working models, initially for ODCS 2016 in Boston.
1. [asieira/SnakeCharmR](https://github.com/asieira/SnakeCharmR) **5**<br/>SnakeCharmR - R and Python Integration
1. [lucasmation/microdadosBrasil](https://github.com/lucasmation/microdadosBrasil) **5**<br/>Reads most common Brazilian public microdata (CENSO, PNAD, etc) easy and fast
1. [RLadiesCodingLondon/meetups](https://github.com/RLadiesCodingLondon/meetups) **5**<br/>Here you find all the code snippets demonstrated during meetups
1. [Rosalita/tester_survey](https://github.com/Rosalita/tester_survey) **4**<br/>
1. [woobe/euro2016](https://github.com/woobe/euro2016) **4**<br/>UEFA Euro 2016 Data, Models and Predictions
1. [gjabel/ecmig](https://github.com/gjabel/ecmig) **4**<br/>Visualizing bilateral links between Euro 2016 squads and players clubs
1. [aurora-mareviv/random_gen](https://github.com/aurora-mareviv/random_gen) **4**<br/>Simple random table generator for clinical trials - R/Shiny app
1. [jcheng5/odsc2016-demo](https://github.com/jcheng5/odsc2016-demo) **4**<br/>
1. [Tutuchan/fodr](https://github.com/Tutuchan/fodr) **4**<br/>An R package to access French Open Data portals
1. [chrisamiller/fishplot](https://github.com/chrisamiller/fishplot) **4**<br/>Create timecourse "fish plots" that show changes in the clonal architecture of tumors
1. [shabbychef/imdb_mirror](https://github.com/shabbychef/imdb_mirror) **3**<br/>Mirror of IMDB you can rebuild yourself.
1. [cloudyr/aws.alexa](https://github.com/cloudyr/aws.alexa) **3**<br/>Client Package for the Amazon Alexa Web Information Service
1. [ahasverus/geographr](https://github.com/ahasverus/geographr) **3**<br/>An R package to have fun with geography
1. [DerekYves/r_geo_code](https://github.com/DerekYves/r_geo_code) **3**<br/>Provides methods to geocode an address in R using Google's (paid) Google for Work service.
1. [DataCub/twitternewsbot](https://github.com/DataCub/twitternewsbot) **3**<br/>A Twitter bot to make poems out of news articles
1. [gavinsimpson/canadaHCD](https://github.com/gavinsimpson/canadaHCD) **3**<br/>Access Canadian Historical Climate Data from R
1. [SymbolixAU/googleway](https://github.com/SymbolixAU/googleway) **3**<br/>
1. [voltek62/SEO-Dashboard](https://github.com/voltek62/SEO-Dashboard) **3**<br/>SEO Dashboard using R and ScreamingFrog for Reporting and Monitoring


## All-Time

1. [johnmyleswhite/ML_for_Hackers](https://github.com/johnmyleswhite/ML_for_Hackers) **2369**<br/>Code accompanying the book "Machine Learning for Hackers"
1. [hadley/ggplot2](https://github.com/hadley/ggplot2) **1854**<br/>An implementation of the Grammar of Graphics in R
1. [rstudio/shiny](https://github.com/rstudio/shiny) **1756**<br/>Easy interactive web applications with R
1. [swirldev/swirl_courses](https://github.com/swirldev/swirl_courses) **1755**<br/>:mortar_board: A collection of interactive courses for the swirl R package.
1. [twitter/AnomalyDetection](https://github.com/twitter/AnomalyDetection) **1504**<br/>Anomaly Detection with R
1. [qinwf/awesome-R](https://github.com/qinwf/awesome-R) **1371**<br/>A curated list of awesome R packages, frameworks and software.
1. [hadley/devtools](https://github.com/hadley/devtools) **1271**<br/>Tools to make an R developer's life easier
1. [hadley/dplyr](https://github.com/hadley/dplyr) **1261**<br/>Dplyr: A grammar of data manipulation
1. [yihui/knitr](https://github.com/yihui/knitr) **1174**<br/>A general-purpose tool for dynamic report generation in R
1. [szilard/benchm-ml](https://github.com/szilard/benchm-ml) **905**<br/>A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
1. [ramnathv/slidify](https://github.com/ramnathv/slidify) **694**<br/>Generate reproducible html5 slides from R markdown
1. [toddwschneider/nyc-taxi-data](https://github.com/toddwschneider/nyc-taxi-data) **677**<br/>Import public NYC taxi and Uber trip data into PostgreSQL / PostGIS database, analyze with R
1. [jrnold/ggthemes](https://github.com/jrnold/ggthemes) **597**<br/>ggplot themes and scales
1. [amplab-extras/SparkR-pkg](https://github.com/amplab-extras/SparkR-pkg) **594**<br/>R frontend for Spark
1. [hadley/rvest](https://github.com/hadley/rvest) **576**<br/>Simple web scraping for R
1. [ropensci/plotly](https://github.com/ropensci/plotly) **551**<br/>Create interactive web graphics from R via plotly's JavaScript graphing library
1. [rstudio/ggvis](https://github.com/rstudio/ggvis) **539**<br/>Interactive grammar of graphics for R
1. [rstudio/rmarkdown](https://github.com/rstudio/rmarkdown) **524**<br/>Dynamic Documents for R
1. [hadley/httr](https://github.com/hadley/httr) **517**<br/>httr: a friendly http package for R
1. [rich-iannone/DiagrammeR](https://github.com/rich-iannone/DiagrammeR) **517**<br/>Create graph diagrams and flowcharts using R.
1. [google/CausalImpact](https://github.com/google/CausalImpact) **501**<br/>An R package for causal inference in time series
1. [genomicsclass/labs](https://github.com/genomicsclass/labs) **500**<br/>Rmd source files for the HarvardX series PH525x
1. [swirldev/swirl](https://github.com/swirldev/swirl) **488**<br/>:cyclone: Learn R, in R.
1. [hadley/plyr](https://github.com/hadley/plyr) **438**<br/>A R package for splitting, applying and combining large problems into simpler problems
1. [johnmyleswhite/ProjectTemplate](https://github.com/johnmyleswhite/ProjectTemplate) **404**<br/>A template utility for R projects that provides a skeletal project.
1. [dgrtwo/broom](https://github.com/dgrtwo/broom) **394**<br/>Convert statistical analysis objects from R into tidy format
1. [karthik/wesanderson](https://github.com/karthik/wesanderson) **394**<br/>A Wes Anderson color palette for R
1. [ramnathv/htmlwidgets](https://github.com/ramnathv/htmlwidgets) **385**<br/>HTML Widgets for R
1. [rdpeng/ProgrammingAssignment2](https://github.com/rdpeng/ProgrammingAssignment2) **380**<br/>Repository for Programming Assignment 2 for R Programming on Coursera
1. [smbache/magrittr](https://github.com/smbache/magrittr) **378**<br/>R package to bring forward-piping features ala F#'s |> operator. Ceci n'est pas un pipe.
1. [johnmyleswhite/ML_for_Hackers](https://github.com/johnmyleswhite/ML_for_Hackers) **2393**<br/>Code accompanying the book "Machine Learning for Hackers"
1. [hadley/ggplot2](https://github.com/hadley/ggplot2) **1885**<br/>An implementation of the Grammar of Graphics in R
1. [swirldev/swirl_courses](https://github.com/swirldev/swirl_courses) **1778**<br/>:mortar_board: A collection of interactive courses for the swirl R package.
1. [rstudio/shiny](https://github.com/rstudio/shiny) **1775**<br/>Easy interactive web applications with R
1. [twitter/AnomalyDetection](https://github.com/twitter/AnomalyDetection) **1536**<br/>Anomaly Detection with R
1. [qinwf/awesome-R](https://github.com/qinwf/awesome-R) **1399**<br/>A curated list of awesome R packages, frameworks and software.
1. [hadley/dplyr](https://github.com/hadley/dplyr) **1284**<br/>Dplyr: A grammar of data manipulation
1. [hadley/devtools](https://github.com/hadley/devtools) **1278**<br/>Tools to make an R developer's life easier
1. [yihui/knitr](https://github.com/yihui/knitr) **1180**<br/>A general-purpose tool for dynamic report generation in R
1. [szilard/benchm-ml](https://github.com/szilard/benchm-ml) **929**<br/>A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
1. [ramnathv/slidify](https://github.com/ramnathv/slidify) **697**<br/>Generate reproducible html5 slides from R markdown
1. [toddwschneider/nyc-taxi-data](https://github.com/toddwschneider/nyc-taxi-data) **686**<br/>Import public NYC taxi and Uber trip data into PostgreSQL / PostGIS database, analyze with R
1. [jrnold/ggthemes](https://github.com/jrnold/ggthemes) **608**<br/>ggplot themes and scales
1. [amplab-extras/SparkR-pkg](https://github.com/amplab-extras/SparkR-pkg) **597**<br/>R frontend for Spark
1. [hadley/rvest](https://github.com/hadley/rvest) **589**<br/>Simple web scraping for R
1. [ropensci/plotly](https://github.com/ropensci/plotly) **578**<br/>Create interactive web graphics from R via plotly's JavaScript graphing library
1. [rstudio/ggvis](https://github.com/rstudio/ggvis) **545**<br/>Interactive grammar of graphics for R
1. [rstudio/rmarkdown](https://github.com/rstudio/rmarkdown) **533**<br/>Dynamic Documents for R
1. [rich-iannone/DiagrammeR](https://github.com/rich-iannone/DiagrammeR) **525**<br/>Create graph diagrams and flowcharts using R.
1. [hadley/httr](https://github.com/hadley/httr) **524**<br/>httr: a friendly http package for R
1. [genomicsclass/labs](https://github.com/genomicsclass/labs) **509**<br/>Rmd source files for the HarvardX series PH525x
1. [google/CausalImpact](https://github.com/google/CausalImpact) **502**<br/>An R package for causal inference in time series
1. [swirldev/swirl](https://github.com/swirldev/swirl) **491**<br/>:cyclone: Learn R, in R.
1. [hadley/plyr](https://github.com/hadley/plyr) **440**<br/>A R package for splitting, applying and combining large problems into simpler problems
1. [johnmyleswhite/ProjectTemplate](https://github.com/johnmyleswhite/ProjectTemplate) **407**<br/>A template utility for R projects that provides a skeletal project.
1. [dgrtwo/broom](https://github.com/dgrtwo/broom) **399**<br/>Convert statistical analysis objects from R into tidy format
1. [karthik/wesanderson](https://github.com/karthik/wesanderson) **399**<br/>A Wes Anderson color palette for R
1. [mlr-org/mlr](https://github.com/mlr-org/mlr) **390**<br/>mlr: Machine Learning in R
1. [ramnathv/htmlwidgets](https://github.com/ramnathv/htmlwidgets) **386**<br/>HTML Widgets for R
1. [rdpeng/ProgrammingAssignment2](https://github.com/rdpeng/ProgrammingAssignment2) **383**<br/>Repository for Programming Assignment 2 for R Programming on Coursera


30 changes: 30 additions & 0 deletions trending.csv
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"2016-05-03","2016-06-02","Tutuchan","fodr","4"
"2016-05-03","2016-06-02","chrisamiller","fishplot","4"
"2016-05-03","2016-06-02","shabbychef","imdb_mirror","3"
"2016-05-18","2016-06-17","MangoTheCat","shinytoastr","25"
"2016-05-18","2016-06-17","rstudio","config","18"
"2016-05-18","2016-06-17","abresler","gdeltr2","16"
"2016-05-18","2016-06-17","rnorm","didi","16"
"2016-05-18","2016-06-17","serenasignorelli","QueryWikidataR","11"
"2016-05-18","2016-06-17","szilard","xgboost-adv-workshop-LA","11"
"2016-05-18","2016-06-17","hadley","ggplot1","11"
"2016-05-18","2016-06-17","sahirbhatnagar","manhattanly","8"
"2016-05-18","2016-06-17","jo-tud","TheDAONetworkAnalysis","7"
"2016-05-18","2016-06-17","richfitz","ring","6"
"2016-05-18","2016-06-17","richfitz","syncr","6"
"2016-05-18","2016-06-17","robjohnnoble","ggmuller","6"
"2016-05-18","2016-06-17","Tutuchan","fodr","6"
"2016-05-18","2016-06-17","MangoTheCat","xmlparsedata","5"
"2016-05-18","2016-06-17","leeper","responserates","5"
"2016-05-18","2016-06-17","asieira","SnakeCharmR","5"
"2016-05-18","2016-06-17","lucasmation","microdadosBrasil","5"
"2016-05-18","2016-06-17","RLadiesCodingLondon","meetups","5"
"2016-05-18","2016-06-17","Rosalita","tester_survey","4"
"2016-05-18","2016-06-17","woobe","euro2016","4"
"2016-05-18","2016-06-17","gjabel","ecmig","4"
"2016-05-18","2016-06-17","aurora-mareviv","random_gen","4"
"2016-05-18","2016-06-17","jcheng5","odsc2016-demo","4"
"2016-05-18","2016-06-17","cloudyr","aws.alexa","3"
"2016-05-18","2016-06-17","ahasverus","geographr","3"
"2016-05-18","2016-06-17","DerekYves","r_geo_code","3"
"2016-05-18","2016-06-17","DataCub","twitternewsbot","3"
"2016-05-18","2016-06-17","gavinsimpson","canadaHCD","3"
"2016-05-18","2016-06-17","SymbolixAU","googleway","3"
"2016-05-18","2016-06-17","voltek62","SEO-Dashboard","3"

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